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Model details

Qwen3.7 Max

Qwen3.7 Max is presented by Qwen as the team's latest proprietary model, explicitly designed for the agent era. The official Qwen blog positions it as a versatile agent foundation intended to handle coding, office productivity, and long-horizon autonomous work, framing the release as the "agent frontier" for the Qwen3.7 family. Rather than a general-purpose chat model, the emphasis is on durable reasoning and execution: the announcement highlights a 35-hour, fully autonomous kernel optimization run comprising over a thousand tool calls as a demonstration of sustained coherent behavior across extremely long task arcs.

Third-party deployment reporting describes Qwen3.7 Max as a frontier mixture-of-experts model that continues the MoE lineage from Qwen 3.6 Plus with updated expert routing and reported gains on standard benchmarks, while retaining the one-the cataloged API limit carried over from the previous generation. Practical strengths highlighted by the Qwen team include strong coding-agent capability ranging from frontend prototyping to complex multi-file engineering, reliable office and productivity workflows through MCP integrations and multi-agent orchestration, and cross-scaffold generalization that lets the model operate consistently whether invoked through Claude Code, OpenClaw, Qwen Code, or other agent frameworks. Together these traits make Qwen3.7 Max best suited to teams building agentic systems that need to chain many steps, tools, and sub-agents over very long contexts.

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Provider
Abacus
Model key
qwen3.7-max
Release date
May 21, 2026
Last updated
May 21, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$2.50
Output token cost
$7.50

Limits

Output tokens
64,000 tokens
Context window
1,000,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Coverage

Beam AI's model directory entry documents Qwen3.7 Max as Alibaba Cloud's proprietary, text-only flagship released on 21 May 2026, featuring a one-million-token context window and up to 65,536 output tokens. The entry distinguishes between the proprietary Max model and the broader open Qwen ecosystem, noting that benchm The page provides independent verification of Alibaba-reported benchmarks including Terminal-Bench 2.0 (69.7), SWE-bench Pro (60.6), SWE-bench Multilingual (78.3), SciCode (53.5), SWE-bench Verified (80.4), and SpreadsheetBench v1 (87.0). The model's verbosity is flagged as a cost concern, with approximately 100 millio

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